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wru  

Who are You? Bayesian Prediction of Racial Category Using Surname, First Name, Middle Name, and Geolocation
View on CRAN: Click here


Download and install wru package within the R console
Install from CRAN:
install.packages("wru")

Install from Github:
library("remotes")
install_github("cran/wru")

Install by package version:
library("remotes")
install_version("wru", "3.1.0")



Attach the package and use:
library("wru")
Maintained by
Brandon Bertelsen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-12-09
Latest Update: 2024-05-24
Description:
Predicts individual race/ethnicity using surname, first name, middle name, geolocation, and other attributes, such as gender and age. The method utilizes Bayes' Rule (with optional measurement error correction) to compute the posterior probability of each racial category for any given individual. The package implements methods described in Imai and Khanna (2016) "Improving Ecological Inference by Predicting Individual Ethnicity from Voter Registration Records" Political Analysis <doi:10.1093/pan/mpw001> and Imai, Olivella, and Rosenman (2022) "Addressing census data problems in race imputation via fully Bayesian Improved Surname Geocoding and name supplements" <doi:10.1126/sciadv.adc9824>.The package also incorporates the data described in Rosenman, Olivella, and Imai (2023) "Race and ethnicity data for first, middle, and surnames" <doi:10.1038/s41597-023-02202-2>.
How to cite:
Brandon Bertelsen (2015). wru: Who are You? Bayesian Prediction of Racial Category Using Surname, First Name, Middle Name, and Geolocation. R package version 3.1.0, https://cran.r-project.org/web/packages/wru. Accessed 06 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:00), 0.0-1 (2015-12-09 22:28), 0.0-2 (2016-03-11 10:27), 0.1-1 (2016-12-13 19:55), 0.1-2 (2017-03-05 08:47), 0.1-3 (2017-04-14 16:07), 0.1-4 (2017-05-05 05:09), 0.1-5 (2017-06-09 01:08), 0.1-6 (2017-08-17 13:06), 0.1-7 (2017-09-01 10:03), 0.1-8 (2019-02-13 09:40), 0.1-9 (2019-02-21 22:20), 0.1-10 (2020-10-22 06:50), 0.1-11 (2021-04-22 06:50), 0.1-12 (2021-05-17 22:20), 1.0.0 (2022-06-21 15:50), 1.0.1 (2022-10-21 19:30), 3.0.0 (2024-02-16 18:50), 3.0.1 (2024-02-28 05:20), 3.0.2 (2024-04-04 06:50), 3.0.3 (2024-05-24 20:00)
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